Task/WG-624: classify tool demo #13
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,368 @@ | ||
| import React, { useEffect, useState, useMemo } from 'react'; | ||
| import { Row, Col, Select, Divider, Spin, Card, List, Badge, Empty } from 'antd'; | ||
| import { LoadingOutlined, ExclamationCircleOutlined, PictureOutlined } from '@ant-design/icons'; | ||
| import { useInference } from '../hooks/useInference'; | ||
| import type { TokenInfo } from '../types/token'; | ||
| import type { TapisFile, InferenceModelMeta } from '../types/inference'; | ||
| import TapisImageViewer from './TapisImageViewer'; | ||
| import { getCuratedFileList } from '../utils/examples'; | ||
|
|
||
| interface DemoInterfaceProps { | ||
| models: InferenceModelMeta[]; | ||
| tokenInfo: TokenInfo; | ||
| apiBasePath: string; | ||
| } | ||
|
|
||
| interface AggregatedResult { | ||
| label: string; | ||
| count: number; | ||
| } | ||
|
|
||
| const DemoInterface: React.FC<DemoInterfaceProps> = ({ models, tokenInfo, apiBasePath }) => { | ||
| const curatedFileList = getCuratedFileList(tokenInfo.tapisHost); | ||
|
|
||
| // only supporting clip models on first pass | ||
| const clipModels = useMemo( | ||
| () => models.filter((m) => m.name.toLowerCase().includes('clip')), | ||
| [models] | ||
| ); | ||
|
|
||
| // Split into curated sets of 5 | ||
| const curatedSets = useMemo(() => { | ||
| const sets: { value: string; label: string; files: TapisFile[] }[] = []; | ||
| for (let i = 0; i < curatedFileList.length; i += 5) { | ||
| const setNum = Math.floor(i / 5) + 1; | ||
| sets.push({ | ||
| value: `set${setNum}`, | ||
| label: `Curated Set #${setNum}`, | ||
| files: curatedFileList.slice(i, i + 5), | ||
| }); | ||
| } | ||
| return sets; | ||
| }, [curatedFileList]); | ||
|
|
||
| const [selectedSet, setSelectedSet] = useState<string | undefined>(undefined); | ||
| const [selectedModel, setSelectedModel] = useState<string | undefined>(undefined); | ||
| const [selectedSensitivity, setSelectedSensitivity] = useState<'high' | 'medium' | 'low'>( | ||
| 'medium' | ||
| ); | ||
| const [aggregatedResults, setAggregatedResults] = useState<AggregatedResult[]>([]); | ||
|
|
||
| const inferenceMutation = useInference(tokenInfo.token, apiBasePath); | ||
|
|
||
| // Get current files from selected set | ||
| const currentFiles = useMemo(() => { | ||
| if (!selectedSet) return []; | ||
| return curatedSets.find((s) => s.value === selectedSet)?.files || []; | ||
| }, [selectedSet, curatedSets]); | ||
|
|
||
| // Auto-select first model when models are loaded (but NOT auto-select set) | ||
| useEffect(() => { | ||
| if (clipModels && clipModels.length > 0 && !selectedModel) { | ||
| setSelectedModel(clipModels[0].name); | ||
| } | ||
| }, [clipModels, selectedModel]); | ||
|
|
||
| // Submit inference when: | ||
| // - User first selects both a model and image set | ||
| // - User changes model, set, or sensitivity after initial selection | ||
| useEffect(() => { | ||
| if (selectedModel && selectedSet && currentFiles.length > 0) { | ||
| inferenceMutation.mutate({ | ||
| files: currentFiles, | ||
| model: selectedModel, | ||
| sensitivity: selectedSensitivity, | ||
| }); | ||
| } | ||
| // excluding inferenceMutation from deps to avoid infinite loop | ||
| // eslint-disable-next-line react-hooks/exhaustive-deps | ||
| }, [selectedModel, selectedSet, selectedSensitivity, currentFiles]); | ||
|
|
||
| // Clear results when switching set or model | ||
| useEffect(() => { | ||
| setAggregatedResults([]); | ||
| }, [selectedSet, selectedModel]); | ||
|
|
||
| // Aggregate inference results | ||
| useEffect(() => { | ||
| if (inferenceMutation.isSuccess && inferenceMutation.data) { | ||
| const labelCounts: Record<string, number> = {}; | ||
|
|
||
| // Access the nested array - use aggregated_results for CLIP | ||
| const response = inferenceMutation.data; | ||
| const results = response.aggregated_results || response.results || []; | ||
|
|
||
| results.forEach((fileResult) => { | ||
| fileResult.predictions?.forEach((prediction) => { | ||
| labelCounts[prediction.label] = (labelCounts[prediction.label] || 0) + 1; | ||
| }); | ||
| }); | ||
|
|
||
| const aggregated = Object.entries(labelCounts) | ||
| .map(([label, count]) => ({ label, count })) | ||
| .sort((a, b) => b.count - a.count); | ||
|
|
||
| setAggregatedResults(aggregated); | ||
| } | ||
| }, [inferenceMutation.isSuccess, inferenceMutation.data]); | ||
|
|
||
| const isReady = selectedModel && selectedSet; | ||
| const isLoading = inferenceMutation.isPending; | ||
| const isError = inferenceMutation.isError; | ||
|
|
||
| return ( | ||
| <> | ||
| {/* Controls Section */} | ||
| <div style={{ width: '100%', marginBottom: 32, textAlign: 'center' }}> | ||
| <Row gutter={16} style={{ marginBottom: 24, alignItems: 'center' }}> | ||
| <Col span={4} style={{ textAlign: 'right' }}> | ||
| <div style={{ fontWeight: 500, color: '#fff', fontSize: 18 }}>Select a model</div> | ||
| </Col> | ||
| <Col span={20}> | ||
| <Select | ||
| value={selectedModel} | ||
| style={{ width: '100%' }} | ||
| onChange={(val) => setSelectedModel(val)} | ||
| options={clipModels.map((m: InferenceModelMeta) => ({ | ||
| label: ( | ||
| <span> | ||
| <b>{m.name}</b> | ||
| <span style={{ color: '#aaa', marginLeft: 8 }}>{m.description}</span> | ||
| {m.link && ( | ||
| <a | ||
| href={m.link} | ||
| target="_blank" | ||
| rel="noopener noreferrer" | ||
| style={{ marginLeft: 8, color: '#40a9ff' }} | ||
| onClick={(e) => e.stopPropagation()} | ||
| > | ||
| [link] | ||
| </a> | ||
| )} | ||
| </span> | ||
| ), | ||
| value: m.name, | ||
| }))} | ||
| placeholder="Select a model" | ||
| /> | ||
| </Col> | ||
| </Row> | ||
| <Row gutter={16} style={{ marginBottom: 24, alignItems: 'center' }}> | ||
| <Col span={4} style={{ textAlign: 'right' }}> | ||
| <div style={{ fontWeight: 500, color: '#fff', fontSize: 18 }}>Sensitivity</div> | ||
| </Col> | ||
| <Col span={20}> | ||
| <Select | ||
| value={selectedSensitivity} | ||
| style={{ width: '100%' }} | ||
| onChange={(val) => setSelectedSensitivity(val)} | ||
| options={[ | ||
| { label: 'High', value: 'high' } /* - More labels, may include noise */, | ||
| { label: 'Medium', value: 'medium' } /* default */, | ||
| { label: 'Low', value: 'low' } /* fewer labels, higher confidence? */, | ||
| ]} | ||
| /> | ||
| </Col> | ||
| </Row> | ||
| <Row gutter={16} style={{ marginBottom: 24, alignItems: 'center' }}> | ||
| <Col span={4} style={{ textAlign: 'right' }}> | ||
| <div style={{ fontWeight: 500, color: '#fff', fontSize: 18 }}> | ||
| <PictureOutlined style={{ marginRight: 8 }} /> | ||
| Select a curated image set | ||
| </div> | ||
| </Col> | ||
| <Col span={20}> | ||
| <Select | ||
| value={selectedSet} | ||
| style={{ width: '100%' }} | ||
| onChange={(val) => setSelectedSet(val)} | ||
| options={curatedSets.map((s) => ({ | ||
| label: `${s.label} (${s.files.length} images)`, | ||
| value: s.value, | ||
| }))} | ||
| placeholder="Choose a curated set..." | ||
| /> | ||
| </Col> | ||
| </Row> | ||
| <Divider style={{ background: '#444', margin: '24px 0 0 0' }} /> | ||
| </div> | ||
|
|
||
| {/* Main Content Area */} | ||
| <Row gutter={32} style={{ marginBottom: 32, width: '100%', margin: '0 auto' }}> | ||
| {/* Gallery - Left Side */} | ||
| <Col span={16}> | ||
| <div | ||
| style={{ | ||
| background: '#1a1a1a', | ||
| minHeight: 400, | ||
| padding: 16, | ||
| borderRadius: 8, | ||
| border: '1px solid #434343', | ||
| }} | ||
| > | ||
| <div style={{ color: '#fff', fontSize: 16, fontWeight: 500, marginBottom: 16 }}> | ||
| Gallery | ||
| {currentFiles.length > 0 && ( | ||
| <span style={{ color: '#888', fontWeight: 400, marginLeft: 8 }}> | ||
| ({currentFiles.length} images) | ||
| </span> | ||
| )} | ||
| </div> | ||
|
|
||
| {!isReady ? ( | ||
| <Empty | ||
| image={Empty.PRESENTED_IMAGE_SIMPLE} | ||
| description={ | ||
| <span style={{ color: '#888' }}> | ||
| Select a model and a curated image set to begin | ||
| </span> | ||
| } | ||
| style={{ padding: '80px 0' }} | ||
| /> | ||
| ) : isLoading ? ( | ||
| <div | ||
| style={{ | ||
| display: 'flex', | ||
| justifyContent: 'center', | ||
| alignItems: 'center', | ||
| minHeight: 300, | ||
| }} | ||
| > | ||
| <Spin | ||
| indicator={<LoadingOutlined style={{ fontSize: 32, color: '#40a9ff' }} spin />} | ||
| /> | ||
| <span style={{ color: '#fff', marginLeft: 16 }}>Loading images...</span> | ||
| </div> | ||
| ) : ( | ||
| <Row gutter={[16, 16]}> | ||
| {currentFiles.map((file) => ( | ||
| <Col xs={12} sm={8} md={8} key={file.path}> | ||
| <Card | ||
| hoverable | ||
| cover={ | ||
| <TapisImageViewer | ||
| file={file} | ||
| style={{ | ||
| height: 120, | ||
| display: 'flex', | ||
| alignItems: 'center', | ||
| justifyContent: 'center', | ||
| overflow: 'hidden', | ||
| }} | ||
| /> | ||
| } | ||
| styles={{ body: { padding: 8, textAlign: 'center', background: '#2a2a2a' } }} | ||
| style={{ background: '#2a2a2a', borderColor: '#444' }} | ||
| > | ||
| <div | ||
| style={{ | ||
| color: '#fff', | ||
| fontSize: 12, | ||
| overflow: 'hidden', | ||
| textOverflow: 'ellipsis', | ||
| whiteSpace: 'nowrap', | ||
| }} | ||
| > | ||
| {file.path.split('/').pop()} | ||
| </div> | ||
| </Card> | ||
| </Col> | ||
| ))} | ||
| </Row> | ||
| )} | ||
| </div> | ||
| </Col> | ||
|
|
||
| {/* Results - Right Side */} | ||
| <Col span={8}> | ||
| <div | ||
| style={{ | ||
| background: '#1a1a1a', | ||
| color: '#fff', | ||
| fontSize: 16, | ||
| minHeight: 400, | ||
| padding: 16, | ||
| borderRadius: 8, | ||
| border: '1px solid #434343', | ||
| }} | ||
| > | ||
| <div | ||
|
|
||
| style={{ | ||
| fontWeight: 500, | ||
| marginBottom: 16, | ||
| display: 'flex', | ||
| alignItems: 'center', | ||
| gap: 8, | ||
| }} | ||
| > | ||
| {isLoading && <LoadingOutlined style={{ color: '#40a9ff' }} />} | ||
| {isError && <ExclamationCircleOutlined style={{ color: '#ff4d4f' }} />} | ||
| <span>Analysis Results</span> | ||
| {aggregatedResults.length > 0 && ( | ||
| <span style={{ color: '#888', fontWeight: 400 }}> | ||
| ({aggregatedResults.length} labels) | ||
| </span> | ||
| )} | ||
| </div> | ||
|
|
||
| {!isReady ? ( | ||
| <Empty | ||
| image={Empty.PRESENTED_IMAGE_SIMPLE} | ||
| description={<span style={{ color: '#888' }}>Results will appear here</span>} | ||
| style={{ padding: '80px 0' }} | ||
| /> | ||
| ) : isLoading ? ( | ||
| <div | ||
| style={{ | ||
| display: 'flex', | ||
| justifyContent: 'center', | ||
| alignItems: 'center', | ||
| minHeight: 300, | ||
| }} | ||
| > | ||
| <Spin | ||
| indicator={<LoadingOutlined style={{ fontSize: 32, color: '#40a9ff' }} spin />} | ||
| /> | ||
| <span style={{ color: '#fff', marginLeft: 16 }}>Analyzing...</span> | ||
| </div> | ||
| ) : isError ? ( | ||
| <div style={{ color: '#ff4d4f', textAlign: 'center', padding: '80px 0' }}> | ||
| Error analyzing images | ||
| </div> | ||
| ) : aggregatedResults.length > 0 ? ( | ||
| <List | ||
| dataSource={aggregatedResults} | ||
| renderItem={(item) => ( | ||
| <List.Item style={{ borderBottom: '1px solid #333', padding: '12px 0' }}> | ||
| <div | ||
| style={{ | ||
| display: 'flex', | ||
| justifyContent: 'space-between', | ||
| width: '100%', | ||
| alignItems: 'center', | ||
| }} | ||
| > | ||
| <span style={{ color: '#fff' }}>{item.label}</span> | ||
| <Badge | ||
| count={item.count} | ||
| style={{ backgroundColor: '#1890ff' }} | ||
| showZero | ||
| overflowCount={99} | ||
| /> | ||
| </div> | ||
| </List.Item> | ||
| )} | ||
| /> | ||
| ) : ( | ||
| <div style={{ color: '#888', textAlign: 'center', padding: '80px 0' }}> | ||
| No labels detected | ||
| </div> | ||
| )} | ||
| </div> | ||
| </Col> | ||
| </Row> | ||
| </> | ||
| ); | ||
| }; | ||
|
|
||
| export default DemoInterface; | ||
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Is this indentation too deep?